In this final episode we enhance our model with a richer and more textured of our data and hypotheses. We transform the Poisson count model to accommodate over-dispersed data like typhoons and innovation. We use the Gamma distribution to generate Poisson rates. We also return to the tool count model from Oceanic cultures to investigate the impact of changing our observational model from Poisson to gamma-Poisson. The Gamma distribution is one of two fundamental models in probability and statistics, along with the Exponential model. The Gamma is indeed one of the exponential family of models if there were a hierarchy. The Gamma can be transformed into the Chi-squared and Normal (Gaussian) models without much ado. Base R plots are deployed to visualize our results and help us tell our story. Indications of next steps will open into new conversations about communities of interest, clusters, distance metric for contact. Much to learn! Enjoy!